Our Impact

Over the past two years, dozens of organizations used Facebook's Data for Good products to improve wellbeing and save lives. Their most profound applications include disaster preparedness projects, vaccination campaigns, and effective deployment of services during times of natural disaster.

Filters Close

Show Me:

All Case Studies Climate Conversation Maps Disaster Maps Disease Prevention Maps Future of Business Survey Insights for Impact Movement Range Maps Population Density Maps Social Connectedness Index

This paper presents a large-scale analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian... This paper presents a large-scale analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens. We leverage a massive near–real-time dataset of human mobility and we model mobility restrictions as an exogenous shock to the economy, similar to a natural disaster.

Disease Prevention Maps

Economic and social consequences of human mobility restrictions under COVID-19

This paper presents a large-scale analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens. We leverage a massive near–real-time dataset of human mobility and we model mobility restrictions as an exogenous shock to the economy, similar to a natural disaster.

Researchers analyzed key mobility trends before and during COVID-19’s lockdown in Italy, one of the first and more affected countries. This research looks at how many people stayed home during... Researchers analyzed key mobility trends before and during COVID-19’s lockdown in Italy, one of the first and more affected countries. This research looks at how many people stayed home during lockdown; what happened between the announcement and the actual implementation of restriction measures; and how population changed during lockdown, checking if people left cities and moved to marginal areas or urban belts.

Disease Prevention Maps

Mobility in Italy Under Lockdown

Researchers analyzed key mobility trends before and during COVID-19’s lockdown in Italy, one of the first and more affected countries. This research looks at how many people stayed home during lockdown; what happened between the announcement and the actual implementation of restriction measures; and how population changed during lockdown, checking if people left cities and moved to marginal areas or urban belts.

The Social Analytics Lab at the MIT Initiative on the Digital Economy (IDE) just released a comprehensive study of the cost of uncoordinated responses to COVID-19. We combined daily, county-level data... The Social Analytics Lab at the MIT Initiative on the Digital Economy (IDE) just released a comprehensive study of the cost of uncoordinated responses to COVID-19. We combined daily, county-level data on shelter-in-place and business closure policies with movement data from more than 27 million mobile devices, social network connections among over 220 million Facebook users, daily temperature and precipitation data from 62,000 weather stations, and county-level census data on population demographics to estimate the geographic and social network spillovers created by regional policies across the United States.

Disease Prevention Maps

The Cost of Uncoordinated Responses to COVID-19

The Social Analytics Lab at the MIT Initiative on the Digital Economy (IDE) just released a comprehensive study of the cost of uncoordinated responses to COVID-19. We combined daily, county-level data on shelter-in-place and business closure policies with movement data from more than 27 million mobile devices, social network connections among over 220 million Facebook users, daily temperature and precipitation data from 62,000 weather stations, and county-level census data on population demographics to estimate the geographic and social network spillovers created by regional policies across the United States.

Facebook uses anonymized mobile phone location data to understand the probability of "colocation" between administrative areas over time -- a proxy for social contact. Use this dashboard to explore... Facebook uses anonymized mobile phone location data to understand the probability of "colocation" between administrative areas over time -- a proxy for social contact. Use this dashboard to explore the network of colocation probabilities in the UK. Colocation is defined as two individuals within the same ~0.6 by ~0.6 km area during the same five minute period in a given week.

Disease Prevention Maps

London School of Hygiene & Tropical Medicine creates dashboards visualizing trends in Facebook Colocation Data for COVID19 response

Facebook uses anonymized mobile phone location data to understand the probability of "colocation" between administrative areas over time -- a proxy for social contact. Use this dashboard to explore the network of colocation probabilities in the UK. Colocation is defined as two individuals within the same ~0.6 by ~0.6 km area during the same five minute period in a given week.

The policies implemented to hinder the COVID-19 outbreak represent one of the largest critical events in history. The understanding of this process is fundamental for crafting and tailoring... The policies implemented to hinder the COVID-19 outbreak represent one of the largest critical events in history. The understanding of this process is fundamental for crafting and tailoring post-disaster relief. In this work we perform a massive data analysis, through geolocalized data from 13M Facebook users, on how such a stress affected mobility patterns in France, Italy and UK.

Disease Prevention Maps

Human Mobility in Response to COVID-19 in France, Italy and UK

The policies implemented to hinder the COVID-19 outbreak represent one of the largest critical events in history. The understanding of this process is fundamental for crafting and tailoring post-disaster relief. In this work we perform a massive data analysis, through geolocalized data from 13M Facebook users, on how such a stress affected mobility patterns in France, Italy and UK.

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey – a partnership between the OECD, World Bank... The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey – a partnership between the OECD, World Bank, and Facebook – provides a pulse on the current and future economic environments in which businesses operate, with the goal of informing decision-making at all levels and delivering insights that can help businesses grow.

Future of Business Survey

Future of Business Survey Launch Report

The Future of Business Survey is a new source of information on small and medium-sized enterprises (SMEs). Launched in February 2016, the monthly survey – a partnership between the OECD, World Bank, and Facebook – provides a pulse on the current and future economic environments in which businesses operate, with the goal of informing decision-making at all levels and delivering insights that can help businesses grow.